Lin Liu

According to our database, Lin Liu authored at least 203 papers between 2000 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Is it still fair? A comparative evaluation of fairness algorithms through the lens of covariate drift.

Oscar Blessed Deho, Michael Bewong, Selasi Kwashie, Jiuyong Li, Jixue Liu, Lin Liu, Srecko Joksimovic

Mach. Learn., January, 2025

Disentangled contrastive learning for fair graph representations.

Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang

Neural Networks, 2025

Time and frequency synergy for source-free time-series domain adaptations.

Muhammad Tanzil Furqon, Mahardhika Pratama, Ary Mazharuddin Shiddiqi, Lin Liu, Habibullah Habibullah, Kutluyil Dogancay

Inf. Sci., 2025

2024

Progressive Skeleton Learning for Effective Local-to-Global Causal Structure Learning.

Xianjie Guo, Kui Yu, Lin Liu, Jiuyong Li, Jiye Liang, Fuyuan Cao, Xindong Wu

IEEE Trans. Knowl. Data Eng., December, 2024

Discovering Ancestral Instrumental Variables for Causal Inference From Observational Data.

Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu

IEEE Trans. Neural Networks Learn. Syst., August, 2024

Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks.

Muhammad Anwar Ma'sum, Md. Rasel Sarkar, Mahardhika Pratama, Savitha Ramasamy, Sreenatha G. Anavatti, Lin Liu, Habibullah Habibullah, Ryszard Kowalczyk

IEEE Trans. Artif. Intell., August, 2024

Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey.

Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le

ACM Comput. Surv., May, 2024

Fairmod: making predictions fair in multiple protected attributes.

Jixue Liu, Jiuyong Li, Lin Liu, Thuc Duy Le, Feiyue Ye, Gefei Li

Knowl. Inf. Syst., March, 2024

Feature Selection for Efficient Local-to-global Bayesian Network Structure Learning.

Kui Yu, Zhaolong Ling, Lin Liu, Peipei Li, Hao Wang, Jiuyong Li

ACM Trans. Knowl. Discov. Data, February, 2024

Causal Feature Selection With Dual Correction.

Xianjie Guo, Kui Yu, Lin Liu, Fuyuan Cao, Jiuyong Li

IEEE Trans. Neural Networks Learn. Syst., January, 2024

When the Past != The Future: Assessing the Impact of Dataset Drift on the Fairness of Learning Analytics Models.

Oscar Blessed Deho, Lin Liu, Jiuyong Li, Jixue Liu, Chen Zhan, Srecko Joksimovic

IEEE Trans. Learn. Technol., 2024

Unsupervised Few-Shot Continual Learning for Remote Sensing Image Scene Classification.

Muhammad Anwar Ma'sum, Mahardhika Pratama, Ramasamy Savitha, Lin Liu, Habibullah, Ryszard Kowalczyk

IEEE Trans. Geosci. Remote. Sens., 2024

Mixup domain adaptations for dynamic remaining useful life predictions.

Muhammad Tanzil Furqon, Mahardhika Pratama, Lin Liu, Habibullah Habibullah, Kutluyil Dogancay

Knowl. Based Syst., 2024

Counterfactual Samples Constructing and Training for Commonsense Statements Estimation.

Chong Liu, Zaiwen Feng, Lin Liu, Zhenyun Deng, Jiuyong Li, Ruifang Zhai, Debo Cheng, Li Qin

CoRR, 2024

Disentangled Representation Learning for Causal Inference with Instruments.

Debo Cheng, Jiuyong Li, Lin Liu, Ziqi Xu, Weijia Zhang, Jixue Liu, Thuc Duy Le

CoRR, 2024

Leaning Time-Varying Instruments for Identifying Causal Effects in Time-Series Data.

Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Thuc Duy Le, Xudong Guo, Shichao Zhang

CoRR, 2024

Linking Model Intervention to Causal Interpretation in Model Explanation.

Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu

CoRR, 2024

Mitigating Dual Latent Confounding Biases in Recommender Systems.

Jianfeng Deng, Qingfeng Chen, Debo Cheng, Jiuyong Li, Lin Liu, Xiaojing Du

CoRR, 2024

Multi-Cause Deconfounding for Recommender Systems with Latent Confounders.

Zhirong Huang, Shichao Zhang, Debo Cheng, Jiuyong Li, Lin Liu, Guixian Zhang

CoRR, 2024

Towards Fair Graph Representation Learning in Social Networks.

Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang

CoRR, 2024

Mitigating Propensity Bias of Large Language Models for Recommender Systems.

Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang

CoRR, 2024

A Deconfounding Approach to Climate Model Bias Correction.

Wentao Gao, Jiuyong Li, Debo Cheng, Lin Liu, Jixue Liu, Thuc Duy Le, Xiaojing Du, Xiongren Chen, Yanchang Zhao, Yun Chen

CoRR, 2024

Estimating Peer Direct and Indirect Effects in Observational Network Data.

Xiaojing Du, Jiuyong Li, Debo Cheng, Lin Liu, Wentao Gao, Xiongren Chen

CoRR, 2024

Data-driven Conditional Instrumental Variables for Debiasing Recommender Systems.

Zhirong Huang, Shichao Zhang, Debo Cheng, Jiuyong Li, Lin Liu, Guangquan Lu

CoRR, 2024

Debiased Contrastive Representation Learning for Mitigating Dual Biases in Recommender Systems.

Zhirong Huang, Shichao Zhang, Debo Cheng, Jiuyong Li, Lin Liu, Guixian Zhang

CoRR, 2024

Causal Effect Estimation using identifiable Variational AutoEncoder with Latent Confounders and Post-Treatment Variables.

Yang Xie, Ziqi Xu, Debo Cheng, Jiuyong Li, Lin Liu, Yinghao Zhang, Zaiwen Feng

CoRR, 2024

Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder.

Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Conditional Instrumental Variable Regression with Representation Learning for Causal Inference.

Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le

Proceedings of the Twelfth International Conference on Learning Representations, 2024

PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning.

Muhammad Anwar Ma'sum, Mahardhika Pratama, Savitha Ramasamy, Lin Liu, Habibullah Habibullah, Ryszard Kowalczyk

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Integrating Fair Representation Learning with Fairness Regularization for Intersectional Group Fairness.

David Quashigah Dzakpasu, Jixue Liu, Jiuyong Li, Lin Liu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

TSI: A Multi-view Representation Learning Approach for Time Series Forecasting.

Wentao Gao, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le, Debo Cheng, Yanchang Zhao, Yun Chen

Proceedings of the AI 2024: Advances in Artificial Intelligence, 2024

Improving Intersectional Group Fairness Using Conditional Generative Adversarial Network and Transfer Learning.

David Quashigah Dzakpasu, Jixue Liu, Jiuyong Li, Lin Liu

Proceedings of the AI 2024: Advances in Artificial Intelligence, 2024

FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning.

Xianjie Guo, Kui Yu, Lin Liu, Jiuyong Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders.

Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Wentao Gao, Thuc Duy Le

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Personalized Interventions to Increase the Employment Success of People With Disability.

Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters

IEEE Trans. Big Data, December, 2023

Multi-Label Feature Selection Via Adaptive Label Correlation Estimation.

Zan Zhang, Zhe Zhang, Jialu Yao, Lin Liu, Jiuyong Li, Gongqing Wu, Xindong Wu

ACM Trans. Knowl. Discov. Data, November, 2023

Adaptive Skeleton Construction for Accurate DAG Learning.

Xianjie Guo, Kui Yu, Lin Liu, Pei-Pei Li, Jiuyong Li

IEEE Trans. Knowl. Data Eng., October, 2023

Pan-cancer characterization of ncRNA synergistic competition uncovers potential carcinogenic biomarkers.

Junpeng Zhang, Lin Liu, Xuemei Wei, Chunwen Zhao, Sijing Li, Jiuyong Li, Thuc Duy Le

PLoS Comput. Biol., October, 2023

Toward Unique and Unbiased Causal Effect Estimation From Data With Hidden Variables.

Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Local Search for Efficient Causal Effect Estimation.

Debo Cheng, Jiuyong Li, Lin Liu, Jiji Zhang, Jixue Liu, Thuc Duy Le

IEEE Trans. Knowl. Data Eng., September, 2023

Should Learning Analytics Models Include Sensitive Attributes? Explaining the Why.

Oscar Blessed Deho, Srecko Joksimovic, Jiuyong Li, Chen Zhan, Jixue Liu, Lin Liu

IEEE Trans. Learn. Technol., August, 2023

Multilabel Feature Selection: A Local Causal Structure Learning Approach.

Kui Yu, Mingzhu Cai, Xingyu Wu, Lin Liu, Jiuyong Li

IEEE Trans. Neural Networks Learn. Syst., June, 2023

Causal heterogeneity discovery by bottom-up pattern search for personalised decision making.

Jiuyong Li, Lin Liu, Shisheng Zhang, Saisai Ma, Thuc Duy Le, Jixue Liu

Appl. Intell., April, 2023

Learning Causal Representations for Robust Domain Adaptation.

Shuai Yang, Kui Yu, Fuyuan Cao, Lin Liu, Hao Wang, Jiuyong Li

IEEE Trans. Knowl. Data Eng., March, 2023

Integrating Global and Local Feature Selection for Multi-Label Learning.

Zan Zhang, Lin Liu, Jiuyong Li, Xindong Wu

ACM Trans. Knowl. Discov. Data, January, 2023

Few-Shot Continual Learning via Flat-to-Wide Approaches.

Muhammad Anwar Ma'sum, Mahardhika Pratama, Lin Liu, Edwin Lughofer, Habibullah, Ryszard Kowalczyk

CoRR, 2023

Causal Effect Estimation with Variational AutoEncoder and the Front Door Criterion.

Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu

CoRR, 2023

Linking a predictive model to causal effect estimation.

Jiuyong Li, Lin Liu, Ziqi Xu, Ha Xuan Tran, Thuc Duy Le, Jixue Liu

CoRR, 2023

DATM: A Novel Data Agnostic Topic Modeling Technique With Improved Effectiveness for Both Short and Long Text.

Michael Bewong, John Wondoh, Selasi Kwashie, Jixue Liu, Lin Liu, Jiuyong Li, Md Zahidul Islam, David Kernot

IEEE Access, 2023

A Data-Driven Approach to Finding K for K Nearest Neighbor Matching in Average Causal Effect Estimation.

Tingting Xu, Yinghao Zhang, Jiuyong Li, Lin Liu, Ziqi Xu, Debo Cheng, Zaiwen Feng

Proceedings of the Web Information Systems Engineering - WISE 2023, 2023

Learning Conditional Instrumental Variable Representation for Causal Effect Estimation.

Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Thuc Duy Le, Jixue Liu

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Disentangled Representation with Causal Constraints for Counterfactual Fairness.

Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Assessing the Fairness of Course Success Prediction Models in the Face of (Un)equal Demographic Group Distribution.

Oscar Blessed Deho, Srecko Joksimovic, Lin Liu, Jiuyong Li, Chen Zhan, Jixue Liu

Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023

Stabilising Job Survival Analysis for Disability Employment Services in Unseen Environments.

Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Xiaomei Li, Jixue Liu, Tony Waters

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

How Many Features Do We Need to Identify Bots on Twitter?

Fatima Tabassum, Sameera Mubarak, Lin Liu, Jia Tina Du

Proceedings of the Information for a Better World: Normality, Virtuality, Physicality, Inclusivity, 2023

Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference.

Debo Cheng, Yang Xie, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Yinghao Zhang, Zaiwen Feng

Proceedings of the IEEE International Conference on Data Mining, 2023

Improve interpretability of Information Bottlenecks for Attribution with Layer-wise Relevance Propagation.

Xiongren Chen, Jiuyong Li, Jixue Liu, Stefan Peters, Lin Liu, Thuc Duy Le, Anthony Walsh

Proceedings of the IEEE International Conference on Big Data, 2023

Causal Disentanglement for Adversarial Defense.

Ji-Young Park, Lin Liu, Jixue Liu, Jiuyong Li

Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

Disentangled Representation for Causal Mediation Analysis.

Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Ke Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Causal Inference with Conditional Instruments Using Deep Generative Models.

Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

PSL: An Algorithm for Partial Bayesian Network Structure Learning.

Zhaolong Ling, Kui Yu, Lin Liu, Jiuyong Li, Yiwen Zhang, Xindong Wu

ACM Trans. Knowl. Discov. Data, 2022

Causal learner: A toolbox for causal structure and Markov blanket learning.

Zhaolong Ling, Kui Yu, Yiwen Zhang, Lin Liu, Jiuyong Li

Pattern Recognit. Lett., 2022

FastOPM - A practical method for partial match of time series.

Jixue Liu, Jiuyong Li, Lin Liu

Pattern Recognit., 2022

Sufficient dimension reduction for average causal effect estimation.

Debo Cheng, Jiuyong Li, Lin Liu, Thuc Duy Le, Jixue Liu, Kui Yu

Data Min. Knowl. Discov., 2022

A Unified Survey of Treatment Effect Heterogeneity Modelling and Uplift Modelling.

Weijia Zhang, Jiuyong Li, Lin Liu

ACM Comput. Surv., 2022

Explanatory causal effects for model agnostic explanations.

Jiuyong Li, Ha Xuan Tran, Thuc Duy Le, Lin Liu, Kui Yu, Jixue Liu

CoRR, 2022

Ancestral instrument method for causal inference without a causal graph.

Debo Cheng, Jiuyong Li, Lin Liu, Jiji Zhang, Thuc Duy Le, Jixue Liu

CoRR, 2022

Exploring non-traditional learner motivations and characteristics in online learning: A learner profile study.

Andrew Zamecnik, Vitomir Kovanovic, Srecko Joksimovic, Lin Liu

Comput. Educ. Artif. Intell., 2022

How do the existing fairness metrics and unfairness mitigation algorithms contribute to ethical learning analytics?

Oscar Blessed Deho, Chen Zhan, Jiuyong Li, Jixue Liu, Lin Liu, Thuc Duy Le

Br. J. Educ. Technol., 2022

Assessing Classifier Fairness with Collider Bias.

Zhenlong Xu, Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Recommending Personalized Interventions to Increase Employability of Disabled Jobseekers.

Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Preface: The 2022 ACM SIGKDD Workshop on Causal Discovery.

Thuc Duy Le, Lin Liu, Emre Kiciman, Sofia Triantafyllou, Huan Liu

Proceedings of the KDD'22 Workshop on Causal Discovery, 15 August 2022, Washington DC, USA, 2022

What is the Most Effective Intervention to Increase Job Retention for this Disabled Worker?

Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

The KDD 2022 Workshop on Causal Discovery (CD2022).

Thuc Duy Le, Lin Liu, Emre Kiciman, Sofia Triantafyllou, Huan Liu

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Ancestral Instrument Method for Causal Inference without Complete Knowledge.

Debo Cheng, Jiuyong Li, Lin Liu, Jiji Zhang, Thuc Duy Le, Jixue Liu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Assessing the Causal Impact of Online Instruction due to COVID-19 on Students' Grades and its aftermath on Grade Prediction Models.

Oscar Blessed Deho, Lin Liu, Srecko Joksimovic, Jiuyong Li, Chen Zhan, Jixue Liu

Proceedings of the GoodIT 2022: ACM International Conference on Information Technology for Social Good, Limassol, Cyprus, September 7, 2022

Decision Support for Disability Employment using Counterfactual Survival Analysis.

Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters

Proceedings of the IEEE International Conference on Big Data, 2022

Randomize Adversarial Defense in a Light Way.

Ji-Young Park, Lin Liu, Jixue Liu, Jiuyong Li

Proceedings of the IEEE International Conference on Big Data, 2022

2021

A Unified View of Causal and Non-causal Feature Selection.

Kui Yu, Lin Liu, Jiuyong Li

ACM Trans. Knowl. Discov. Data, 2021

A general framework for causal classification.

Jiuyong Li, Weijia Zhang, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu

Int. J. Data Sci. Anal., 2021

Causality-based Feature Selection: Methods and Evaluations.

Kui Yu, Xianjie Guo, Lin Liu, Jiuyong Li, Hao Wang, Zhaolong Ling, Xindong Wu

ACM Comput. Surv., 2021

Feature Selection for Efficient Local-to-Global Bayesian Network Structure Learning.

Kui Yu, Zhaolong Ling, Lin Liu, Hao Wang, Jiuyong Li

CoRR, 2021

Any Part of Bayesian Network Structure Learning.

Zhaolong Ling, Kui Yu, Hao Wang, Lin Liu, Jiuyong Li

CoRR, 2021

Exploring cell-specific miRNA regulation with single-cell miRNA-mRNA co-sequencing data.

Junpeng Zhang, Lin Liu, Taosheng Xu, Wu Zhang, Chunwen Zhao, Sijing Li, Jiuyong Li, Nini Rao, Thuc Duy Le

BMC Bioinform., 2021

Uncovering the roles of microRNAs/lncRNAs in characterising breast cancer subtypes and prognosis.

Xiaomei Li, Buu Minh Thanh Truong, Taosheng Xu, Lin Liu, Jiuyong Li, Thuc Duy Le

BMC Bioinform., 2021

pDriver: a novel method for unravelling personalized coding and miRNA cancer drivers.

Vu Viet Hoang Pham, Lin Liu, Cameron Bracken, Thin Nguyen, Gregory J. Goodall, Jiuyong Li, Thuc Duy Le

Bioinform., 2021

A pseudotemporal causality approach to identifying miRNA-mRNA interactions during biological processes.

Andres M. Cifuentes-Bernal, Vu Viet Hoang Pham, Xiaomei Li, Lin Liu, Jiuyong Li, Thuc Duy Le

Bioinform., 2021

The winning methods for predicting cellular position in the DREAM single-cell transcriptomics challenge.

Vu Viet Hoang Pham, Xiaomei Li, Buu Minh Thanh Truong, Thin Nguyen, Lin Liu, Jiuyong Li, Thuc Duy Le

Briefings Bioinform., 2021

Recommending the Most Effective Intervention to Improve Employment for Job Seekers with Disability.

Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Divide and Conquer: Targeted Adversary Detection using Proximity and Dependency.

Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le, Jixue Liu

Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

Training Neural Networks with Random Noise Images for Adversarial Robustness.

Ji-Young Park, Lin Liu, Jiuyong Li, Jixue Liu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Treatment Effect Estimation with Disentangled Latent Factors.

Weijia Zhang, Lin Liu, Jiuyong Li

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Leveraging burst in twitter network communities for event detection.

Jeffery Ansah, Lin Liu, Wei Kang, Jixue Liu, Jiuyong Li

World Wide Web, 2020

Learning Markov Blankets From Multiple Interventional Data Sets.

Kui Yu, Lin Liu, Jiuyong Li

IEEE Trans. Neural Networks Learn. Syst., 2020

LMSM: A modular approach for identifying lncRNA related miRNA sponge modules in breast cancer.

Junpeng Zhang, Taosheng Xu, Lin Liu, Wu Zhang, Chunwen Zhao, Sijing Li, Jiuyong Li, Nini Rao, Thuc Duy Le

PLoS Comput. Biol., 2020

A novel single-cell based method for breast cancer prognosis.

Xiaomei Li, Lin Liu, Gregory J. Goodall, Andreas W. Schreiber, Taosheng Xu, Jiuyong Li, Thuc Duy Le

PLoS Comput. Biol., 2020

Multi-Source Causal Feature Selection.

Kui Yu, Lin Liu, Jiuyong Li, Wei Ding, Thuc Duy Le

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Accurate data-driven prediction does not mean high reproducibility.

Jiuyong Li, Lin Liu, Thuc Duy Le, Jixue Liu

Nat. Mach. Intell., 2020

Detecting high-quality signals of adverse drug-drug interactions from spontaneous reporting data.

Chen Zhan, Elizabeth Roughead, Lin Liu, Nicole Pratt, Jiuyong Li

J. Biomed. Informatics, 2020

Dependency-based Anomaly Detection: Framework, Methods and Benchmark.

Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le, Jixue Liu

CoRR, 2020

Assessing the Fairness of Classifiers with Collider Bias.

Zhenlong Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang

CoRR, 2020

Sufficient Dimension Reduction for Average Causal Effect Estimation.

Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu

CoRR, 2020

A unified survey on treatment effect heterogeneity modeling and uplift modeling.

Weijia Zhang, Jiuyong Li, Lin Liu

CoRR, 2020

Computational methods for cancer driver discovery: A survey.

Vu Viet Hoang Pham, Lin Liu, Cameron Bracken, Gregory J. Goodall, Jiuyong Li, Thuc Duy Le

CoRR, 2020

Towards precise causal effect estimation from data with hidden variables.

Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu

CoRR, 2020

Correction to: Identifying miRNA synergism using multiple-intervention causal inference.

Junpeng Zhang, Vu Viet Hoang Pham, Lin Liu, Taosheng Xu, Buu Minh Thanh Truong, Jiuyong Li, Nini Rao, Thuc Duy Le

BMC Bioinform., 2020

<i>DriverGroup</i>: a novel method for identifying driver gene groups.

Vu Viet Hoang Pham, Lin Liu, Cameron Bracken, Gregory J. Goodall, Jiuyong Li, Thuc Duy Le

Bioinform., 2020

Detecting potential signals of adverse drug events from prescription data.

Chen Zhan, Elizabeth Roughead, Lin Liu, Nicole Pratt, Jiuyong Li

Artif. Intell. Medicine, 2020

Evidence Weighted Tree Ensembles for Text Classification.

Md Zahidul Islam, Jixue Liu, Jiuyong Li, Lin Liu, Wei Kang

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

LoPAD: A Local Prediction Approach to Anomaly Detection.

Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le, Jixue Liu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Preface: The 2020 ACM SIGKDD Workshop on Causal Discovery.

Thuc Duy Le, Lin Liu, Kun Zhang, Emre Kiciman, Peng Cui, Aapo Hyvärinen

Proceedings of the 2020 KDD Workshop on Causal Discovery (CD@KDD 2020), 2020

Robust Multi-Instance Learning with Stable Instances.

Weijia Zhang, Lin Liu, Jiuyong Li

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Causal Query in Observational Data with Hidden Variables.

Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Kui Yu, Thuc Duy Le

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Intervention Recommendation for Improving Disability Employment.

Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Building Fair Predictive Models.

Jixue Liu, Jiuyong Li, Feiyue Ye, Lin Liu, Thuc Duy Le, Ping Xiong, Hong-Cheu Liu

Proceedings of the AI 2020: Advances in Artificial Intelligence, 2020

Computational Methods for Predicting Autism Spectrum Disorder from Gene Expression Data.

Junpeng Zhang, Thin Nguyen, Buu Minh Thanh Truong, Lin Liu, Jiuyong Li, Thuc Duy Le

Proceedings of the Advanced Data Mining and Applications - 16th International Conference, 2020

2019

BAMB: A Balanced Markov Blanket Discovery Approach to Feature Selection.

Zhaolong Ling, Kui Yu, Hao Wang, Lin Liu, Wei Ding, Xindong Wu

ACM Trans. Intell. Syst. Technol., 2019

A Fast PC Algorithm for High Dimensional Causal Discovery with Multi-Core PCs.

Thuc Duy Le, Tao Hoang, Jiuyong Li, Lin Liu, Huawen Liu, Shu Hu

IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Certus: An Effective Entity Resolution Approach with Graph Differential Dependencies (GDDs).

Selasi Kwashie, Jixue Liu, Jiuyong Li, Lin Liu, Markus Stumptner, Lujing Yang

Proc. VLDB Endow., 2019

CBNA: A control theory based method for identifying coding and non-coding cancer drivers.

Vu Viet Hoang Pham, Lin Liu, Cameron Bracken, Gregory J. Goodall, Qi Long, Jiuyong Li, Thuc Duy Le

PLoS Comput. Biol., 2019

Privacy preserving serial publication of transactional data.

Michael Bewong, Jixue Liu, Lin Liu, Jiuyong Li

Inf. Syst., 2019

Data-driven discovery of causal interactions.

Saisai Ma, Lin Liu, Jiuyong Li, Thuc Duy Le

Int. J. Data Sci. Anal., 2019

Identifying key factors of student academic performance by subgroup discovery.

Sumyea Helal, Jiuyong Li, Lin Liu, Esmaeil Ebrahimie, Shane Dawson, Duncan J. Murray

Int. J. Data Sci. Anal., 2019

Discovering context specific causal relationships.

Saisai Ma, Jiuyong Li, Lin Liu, Thuc Duy Le

Intell. Data Anal., 2019

Identify treatment effect patterns for personalised decisions.

Jiuyong Li, Saisai Ma, Lin Liu, Thuc Duy Le, Jixue Liu, Yizhao Han

CoRR, 2019

Distributionally Robust Multi-instance Learning with Stable Instances.

Weijia Zhang, Jiuyong Li, Lin Liu

CoRR, 2019

A relative privacy model for effective privacy preservation in transactional data.

Michael Bewong, Jixue Liu, Lin Liu, Jiuyong Li, Kim-Kwang Raymond Choo

Concurr. Comput. Pract. Exp., 2019

Identifying miRNA synergism using multiple-intervention causal inference.

Junpeng Zhang, Vu Viet Hoang Pham, Lin Liu, Taosheng Xu, Buu Minh Thanh Truong, Jiuyong Li, Nini Rao, Thuc Duy Le

BMC Bioinform., 2019

miRspongeR: an R/Bioconductor package for the identification and analysis of miRNA sponge interaction networks and modules.

Junpeng Zhang, Lin Liu, Taosheng Xu, Yong Xie, Chunwen Zhao, Jiuyong Li, Thuc Duy Le

BMC Bioinform., 2019

Identifying miRNA-mRNA regulatory relationships in breast cancer with invariant causal prediction.

Vu Viet Hoang Pham, Junpeng Zhang, Lin Liu, Buu Minh Thanh Truong, Taosheng Xu, Trung T. Nguyen, Jiuyong Li, Thuc Duy Le

BMC Bioinform., 2019

Inferring and analyzing module-specific lncRNA-mRNA causal regulatory networks in human cancer.

Junpeng Zhang, Thuc Duy Le, Lin Liu, Jiuyong Li

Briefings Bioinform., 2019

A Graph is Worth a Thousand Words: Telling Event Stories using Timeline Summarization Graphs.

Jeffery Ansah, Lin Liu, Wei Kang, Selasi Kwashie, Jixue Li, Jiuyong Li

Proceedings of the World Wide Web Conference, 2019

Semantic Explanations in Ensemble Learning.

Md Zahidul Islam, Jixue Liu, Lin Liu, Jiuyong Li, Wei Kang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Linking Graph Entities with Multiplicity and Provenance.

Jixue Liu, Selasi Kwashie, Jiuyong Li, Lin Liu, Michael Bewong

Proceedings of the 2nd International Workshop on EntitY REtrieval co-located with 28th ACM International Conference on Information and Knowledge Management (CIKM 2019), 2019

A Semantics Aware Random Forest for Text Classification.

Md Zahidul Islam, Jixue Liu, Jiuyong Li, Lin Liu, Wei Kang

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Mining Markov Blankets Without Causal Sufficiency.

Kui Yu, Lin Liu, Jiuyong Li, Huanhuan Chen

IEEE Trans. Neural Networks Learn. Syst., 2018

Collective behavior learning by differentiating personal preference from peer influence.

Zan Zhang, Lin Liu, Hao Wang, Jiuyong Li, Daning Hu, Jiaqi Yan, René Algesheimer, Markus Meierer

Knowl. Based Syst., 2018

Predicting academic performance by considering student heterogeneity.

Sumyea Helal, Jiuyong Li, Lin Liu, Esmaeil Ebrahimie, Shane Dawson, Duncan J. Murray, Qi Long

Knowl. Based Syst., 2018

A data-driven method to detect adverse drug events from prescription data.

Chen Zhan, Elizabeth Roughead, Lin Liu, Nicole Pratt, Jiuyong Li

J. Biomed. Informatics, 2018

Multi-label relational classification via node and label correlation.

Zan Zhang, Hao Wang, Lin Liu, Jiuyong Li

Neurocomputing, 2018

Guest Editorial: Special Issue on Causal Discovery 2017.

Lin Liu, Jiuyong Li, Kun Zhang, Emre Kiciman, Negar Kiyavash

Int. J. Data Sci. Anal., 2018

An exploration of algorithmic discrimination in data and classification.

Jixue Liu, Jiuyong Li, Feiyue Ye, Lin Liu, Thuc Duy Le, Ping Xiong

CoRR, 2018

FairMod - Making Predictive Models Discrimination Aware.

Jixue Liu, Jiuyong Li, Lin Liu, Thuc Duy Le, Feiyue Ye, Gefei Li

CoRR, 2018

Discovering Markov Blanket from Multiple interventional Datasets.

Kui Yu, Lin Liu, Jiuyong Li

CoRR, 2018

Estimating heterogeneous treatment effect by balancing heterogeneity and fitness.

Weijia Zhang, Thuc Duy Le, Lin Liu, Jiuyong Li

BMC Bioinform., 2018

miRBaseConverter: an R/Bioconductor package for converting and retrieving miRNA name, accession, sequence and family information in different versions of miRBase.

Taosheng Xu, Ning Su, Lin Liu, Junpeng Zhang, Hongqiang Wang, Weijia Zhang, Jie Gui, Kui Yu, Jiuyong Li, Thuc Duy Le

BMC Bioinform., 2018

LncmiRSRN: identification and analysis of long non-coding RNA related miRNA sponge regulatory network in human cancer.

Junpeng Zhang, Lin Liu, Jiuyong Li, Thuc Duy Le

Bioinform., 2018

Which Type of Classifier to Use for Networked Data, Connectivity Based or Feature Based?

Zan Zhang, Jiuyong Li, Hao Wang, Lin Liu, Jixue Liu

Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

SensorTree: Bursty Propagation Trees as Sensors for Protest Event Detection.

Jeffery Ansah, Wei Kang, Lin Liu, Jixue Liu, Jiuyong Li

Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

ParallelPC: An R Package for Efficient Causal Exploration in Genomic Data.

Thuc Duy Le, Taosheng Xu, Lin Liu, Hu Shu, Tao Hoang, Jiuyong Li

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018

Information Propagation Trees for Protest Event Prediction.

Jeffery Ansah, Wei Kang, Lin Liu, Jixue Liu, Jiuyong Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Preface: The 2018 ACM SIGKDD Workshop on Causal Discovery.

Thuc Duy Le, Kun Zhang, Emre Kiciman, Aapo Hyvärinen, Lin Liu

Proceedings of 2018 ACM SIGKDD Workshop on Causal Discovery, 2018

Effective Outlier Detection based on Bayesian Network and Proximity.

Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Nonparametric Sparse Matrix Decomposition for Cross-View Dimensionality Reduction.

Huawen Liu, Lin Liu, Thuc Duy Le, Ivan Lee, Shiliang Sun, Jiuyong Li

IEEE Trans. Multim., 2017

Causal Decision Trees.

Jiuyong Li, Saisai Ma, Thuc Duy Le, Lin Liu, Jixue Liu

IEEE Trans. Knowl. Data Eng., 2017

Forensic taxonomy of android productivity apps.

Abdullah Azfar, Kim-Kwang Raymond Choo, Lin Liu

Multim. Tools Appl., 2017

Guest editorial: special issue on causal discovery.

Jiuyong Li, Kun Zhang, Elias Bareinboim, Lin Liu

Int. J. Data Sci. Anal., 2017

Building Diversified Multiple Trees for classification in high dimensional noisy biomedical data.

Jiuyong Li, Lin Liu, Jixue Liu, Ryan Green

Health Inf. Sci. Syst., 2017

Inferring miRNA sponge co-regulation of protein-protein interactions in human breast cancer.

Junpeng Zhang, Thuc Duy Le, Lin Liu, Jiuyong Li

BMC Bioinform., 2017

Identifying miRNA sponge modules using biclustering and regulatory scores.

Junpeng Zhang, Thuc Duy Le, Lin Liu, Jiuyong Li

BMC Bioinform., 2017

Mining heterogeneous causal effects for personalized cancer treatment.

Weijia Zhang, Thuc Duy Le, Lin Liu, Zhi-Hua Zhou, Jiuyong Li

Bioinform., 2017

CancerSubtypes: an R/Bioconductor package for molecular cancer subtype identification, validation and visualization.

Taosheng Xu, Thuc Duy Le, Lin Liu, Ning Su, Rujing Wang, Bing-Yu Sun, Antonio Colaprico, Gianluca Bontempi, Jiuyong Li

Bioinform., 2017

Computational methods for identifying miRNA sponge interactions.

Thuc Duy Le, Junpeng Zhang, Lin Liu, Jiuyong Li

Briefings Bioinform., 2017

Utility Aware Clustering for Publishing Transactional Data.

Michael Bewong, Jixue Liu, Lin Liu, Jiuyong Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Identifying microRNA targets in epithelial-mesenchymal transition using joint-intervention causal inference.

Thuc Duy Le, Junpeng Zhang, Lin Liu, Buu Minh Thanh Truong, Shu Hu, Taosheng Xu, Jiuyong Li

Proceedings of the 8th International Conference on Computational Systems-Biology and Bioinformatics, 2017

Discrimination detection by causal effect estimation.

Jiuyong Li, Jixue Liu, Lin Liu, Thuc Duy Le, Saisai Ma, Yizhao Han

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Evaluating and Improving SIP Non-INVITE Transaction to Alleviate the Losing Race Problem.

Junxian Liu, Lin Liu, Tao Chen

Proceedings of the Application and Theory of Petri Nets and Concurrency, 2017

Carbon: Forecasting Civil Unrest Events by Monitoring News and Social Media.

Wei Kang, Jie Chen, Jiuyong Li, Jixue Liu, Lin Liu, Grant Osborne, Nick Lothian, Brenton Cooper, Terry Moschou, Grant Neale

Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

2016

From Observational Studies to Causal Rule Mining.

Jiuyong Li, Thuc Duy Le, Lin Liu, Jixue Liu, Zhou Jin, Bing-Yu Sun, Saisai Ma

ACM Trans. Intell. Syst. Technol., 2016

Mining combined causes in large data sets.

Saisai Ma, Jiuyong Li, Lin Liu, Thuc Duy Le

Knowl. Based Syst., 2016

Android mobile VoIP apps: a survey and examination of their security and privacy.

Abdullah Azfar, Kim-Kwang Raymond Choo, Lin Liu

Electron. Commer. Res., 2016

Building Diversified Multiple Trees for Classification in High Dimensional Noise Data.

Jiuyong Li, Lin Liu, Jixue Liu, Ryan Green

CoRR, 2016

Identification of miRNA-mRNA regulatory modules by exploring collective group relationships.

S. M. Masud Karim, Lin Liu, Thuc Duy Le, Jiuyong Li

BMC Genom., 2016

An Android Social App Forensics Adversary Model.

Abdullah Azfar, Kim-Kwang Raymond Choo, Lin Liu

Proceedings of the 49th Hawaii International Conference on System Sciences, 2016

2015

Practical Approaches to Causal Relationship Exploration

Jiuyong Li, Lin Liu, Thuc Duy Le

Springer Briefs in Electrical and Computer Engineering, Springer, ISBN: 978-3-319-14433-7, 2015

Mining Combined Causes.

Saisai Ma, Jiuyong Li, Lin Liu, Thuc Duy Le

CoRR, 2015

A fast PC algorithm for high dimensional causal discovery with multi-core PCs.

Thuc Duy Le, Tao Hoang, Jiuyong Li, Lin Liu, Huawen Liu

CoRR, 2015

ParallelPC: an R package for efficient constraint based causal exploration.

Thuc Duy Le, Tao Hoang, Jiuyong Li, Lin Liu, Shu Hu

CoRR, 2015

From miRNA regulation to miRNA-TF co-regulation: computational approaches and challenges.

Thuc Duy Le, Lin Liu, Junpeng Zhang, Bing Liu, Jiuyong Li

Briefings Bioinform., 2015

Forensic Taxonomy of Popular Android mHealth Apps.

Abdullah Azfar, Kim-Kwang Raymond Choo, Lin Liu

Proceedings of the 21st Americas Conference on Information Systems, 2015

2014

A Coloured Petri Net Approach to the Functional and Performance Analysis of SIP Non-INVITE Transaction.

Junxian Liu, Lin Liu

Trans. Petri Nets Other Model. Concurr., 2014

Identifying direct miRNA-mRNA causal regulatory relationships in heterogeneous data.

Junpeng Zhang, Thuc Duy Le, Lin Liu, Bing Liu, Jianfeng He, Gregory J. Goodall, Jiuyong Li

J. Biomed. Informatics, 2014

Inferring condition-specific miRNA activity from matched miRNA and mRNA expression data.

Junpeng Zhang, Thuc Duy Le, Lin Liu, Bing Liu, Jianfeng He, Gregory J. Goodall, Jiuyong Li

Bioinform., 2014

A Study of Ten Popular Android Mobile VoIP Applications: Are the Communications Encrypted?

Abdullah Azfar, Kim-Kwang Raymond Choo, Lin Liu

Proceedings of the 47th Hawaii International Conference on System Sciences, 2014

Discovering Collective Group Relationships.

S. M. Masud Karim, Lin Liu, Jiuyong Li

Proceedings of the Databases Theory and Applications, 2014

2013

Inferring microRNA and transcription factor regulatory networks in heterogeneous data.

Thuc Duy Le, Lin Liu, Bing Liu, Anna Tsykin, Gregory J. Goodall, Kenji Satou, Jiuyong Li

BMC Bioinform., 2013

Inferring microRNA-mRNA causal regulatory relationships from expression data.

Thuc Duy Le, Lin Liu, Anna Tsykin, Gregory J. Goodall, Bing Liu, Bing-Yu Sun, Jiuyong Li

Bioinform., 2013

Exploring Groups from Heterogeneous Data via Sparse Learning.

Huawen Liu, Jiuyong Li, Lin Liu, Jixue Liu, Ivan Lee, Jianmin Zhao

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Mining Causal Association Rules.

Jiuyong Li, Thuc Duy Le, Lin Liu, Jixue Liu, Zhou Jin, Bing-Yu Sun

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

2012

Discovery of Causal Rules Using Partial Association.

Zhou Jin, Jiuyong Li, Lin Liu, Thuc Duy Le, Bing-Yu Sun, Rujing Wang

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

2011

Uncovering SIP Vulnerabilities to DoS Attacks Using Coloured Petri Nets.

Lin Liu

Proceedings of the IEEE 10th International Conference on Trust, 2011

2010

Identifying functional miRNA-mRNA regulatory modules with correspondence latent dirichlet allocation.

Bing Liu, Lin Liu, Anna Tsykin, Gregory J. Goodall, Jeffrey E. Green, Min Zhu, Chang-Hee Kim, Jiuyong Li

Bioinform., 2010

Spectral representation of DNA sequences and its application.

Zhujin Zhang, Lin Liu, Jiuyong Li, Zheng Zhang

Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010

2009

Exploring complex miRNA-mRNA interactions with Bayesian networks by splitting-averaging strategy.

Bing Liu, Jiuyong Li, Anna Tsykin, Lin Liu, Arti B. Gaur, Gregory J. Goodall

BMC Bioinform., 2009

Recursive Parametric Automata and epsilon-Removal.

Lin Liu, Jonathan Billington

Proceedings of the Formal Techniques for Distributed Systems, 2009

Verification of the SIP Transaction Using Coloured Petri Nets.

Lin Liu

Proceedings of the Computer Science 2009, 2009

2008

Modelling and Analysis of the INVITE Transaction of the Session Initiation Protocol Using Coloured Petri Nets.

Lay G. Ding, Lin Liu

Proceedings of the Applications and Theory of Petri Nets, 29th International Conference, 2008

2007

Verification of the Capability Exchange Signalling protocol.

Lin Liu, Jonathan Billington

Int. J. Softw. Tools Technol. Transf., 2007

Symbolic Language Representations for Parametric Verification of the Revised Capability Exchange Signalling Protocol.

Lin Liu, Jonathan Billington

Proceedings of the Eighth International Conference on Parallel and Distributed Computing, 2007

2004

Obtaining the Service Language for H.245's Multimedia Capability Exchange Signalling Protocol: the Final Step.

Lin Liu, Jonathan Billington

Proceedings of the 10th International Multimedia Modeling Conference (MMM 2004), 2004

Reducing Parametric Automata: A Multimedia Protocol Service Case Study.

Lin Liu, Jonathan Billington

Proceedings of the Automated Technology for Verification and Analysis: Second International Conference, 2004

2002

Tackling the Infinite State Space of a Multimedia Control Protocol Service Specification.

Lin Liu, Jonathan Billington

Proceedings of the Applications and Theory of Petri Nets 2002, 2002

2000

Fuzzy Bayesian Networks - A General Formalism for Representation, Inference and Learning with Hybrid Bayesian Networks.

Heping Pan, Lin Liu

Int. J. Pattern Recognit. Artif. Intell., 2000